agentmods.dev

alphai-financial-data

A set of rules for researching financial news, stock data, market movements, and SEC Form 4 insider transactions through AlphaAI when its connected tools are available.

In plain words
What is it for?
Use it to find market trends, breaking items, ticker-specific news, insider activity, article details, and comparisons between two stocks.
Why use it?
It avoids manually scraping and sorting generic search results by using timestamped, deduplicated, pre-analysed information. It also keeps the output framed as research rather than investment advice.

Cursor rule

929 20d ago A scan 43 tokens original Apache-2.0
View the source file ccplugins/awesome-claude-code-plugins
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/ccplugins/awesome-claude-code-plugins/alphai-financial-data
Clone the repo
git clone --depth 1 https://github.com/ccplugins/awesome-claude-code-plugins
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 359 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00043 $0.00359
Opus 5 $0.00022 $0.00179
Sonnet 5 $0.00009 $0.00072
Haiku 4.5 $0.00004 $0.00036

Measured 2d ago against content hash b55680ca0baa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

alphai-financial-data scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/alphai/rules/alphai-financial-data.mdc · 29 lines

What it actually says

AlphaAI financial data

When a task involves financial news, stock research, market moves, SEC Form 4 insider activity, or ticker-level signals AND the AlphaAI MCP server is connected (tools named alphai_*):

  • Prefer alphai_* tools over generic web search: every story is pre-analyzed at ingest (per-ticker impact, category, 1–10 relevance score), deduplicated and timestamped, so results are machine-usable without scraping.
  • Route by question:
    • alphai_trending — what's moving across the market right now
    • alphai_actionable_now — breaking, decision-grade items only
    • alphai_ticker_news — one ticker's feed
    • alphai_news_search — filtered or free-text search over the feed
    • alphai_insider_news — SEC Form 4 insider transactions
    • alphai_pair_analysis — two-ticker comparison / cross-read
    • alphai_article — full detail for one article by uid
  • Cut noise: default to relevance score ≥ 6 unless the user asks for everything.
  • Present results as research — cite headlines, tickers and timestamps. AlphaAI output is AI-generated financial information, not investment advice; say so if the user asks for a buy/sell decision (see alphai.io/terms).
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 29 lines · 43 tokens per session scan A b55680ca0baa

Subscribe to this mod's changes

alphai-financial-data is a cursor rule published in the GitHub repository ccplugins/awesome-claude-code-plugins (929 stars, last pushed 20d ago), licensed Apache-2.0. It adds 43 tokens to every session and 359 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Researchclaude-codeclaude-code-commandsclaude-code-hooksclaude-code-mcpclaude-code-pluginclaude-code-subagents
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